Arrhythmia is a medical condition when the normal pumping mechanism of the human heart
becomes irregular. The detection of arrhythmia is one of the most important step for …

A method for the automatic classification of electrocardiograms (ECG) based on the
combination of multiple Support Vector Machines (SVMs) is presented in this work. The …

Signal processing techniques are an obvious choice for real-time analysis of
electrocardiography (ECG) signals. However, classical signal processing techniques are …

Electrocardiogram (ECG) is a non-invasive clinical tool that reveals the rhythm and
functionality of the human heart. It is widely used in the diagnosis of heart diseases including …

Myocardial infarction (MI) is a silent condition that irreversibly damages the heart muscles. It
expands rapidly and, if not treated timely, continues to damage the heart muscles. An …

The occlusion in one of the coronary arteries of the heart leads to the cardiac ailment,
myocardial infarction (MI). The localization of MI based on the investigation of the …

The cardiovascular system is a combination of the heart, blood and blood vessels.
Cardiovascular diseases (CVD) are a key factor behind casualties worldwide among both …

Electrocardiogram (ECG) signals contain a significant amount of subtle information that can
be used to detect some types of heart dysfunction. The widespread availability of digital ECG …

Electrocardiogram (ECG) has been proved to be the most common and effective approach
to investigate the cardiovascular disease because that it is simple, non-invasive and low …

The morbidity of cardiovascular disease increasingly rises, which makes great impact upon
people's health and life. Electrocardiogram (ECG) beat classification is of great significance …